LLM Council by Felix
A free Claude add-on that spins up a council of 5 AI advisers to pressure-test any decision you're facing, then hands you one clear verdict and a next step. Adapted from Andrej Karpathy's LLM Council.
The LLM Council is a decision-making pattern popularised by Andrej Karpathy, who open-sourced a small “Saturday hack” app for it in late 2025. Instead of trusting a single model's answer, it sends your question to several models at once, has them anonymously review and critique each other's responses, and then asks a “chairman” model to weigh everything and write the final verdict.
Why a council beats a single answer
A lone model tends to sound equally confident whether or not it's right, and it rarely flags its own blind spots. Forcing several perspectives into the open — and making them judge each other before anything is finalised — surfaces disagreement you'd otherwise never see. The synthesis step then turns that debate into one clear recommendation instead of a wall of conflicting opinions.
What Felix's version adds
Felix's adaptation (hosted on ADPList's Notion) packages the idea as a free, ready-to-use Claude add-on, so you don't have to wire up multiple model APIs yourself. You describe the decision you're weighing, and it stands up a panel of five AI advisers — each taking a distinct angle — that deliberate and then hand you a single verdict plus a concrete next step.
When to reach for it
- Strategy calls where the “obvious” answer feels a little too clean
- Hiring, pricing, or “should we build this?” decisions with real trade-offs
- Any choice where a second, third, and fourth opinion would genuinely sharpen your thinking
It's less useful for quick factual lookups, where the overhead of a full council isn't worth it. For a weighty, ambiguous decision, though, the deliberation is exactly the point.
- The multi-adviser “council” approach to pressure-testing a decision
- Setting it up as a free add-on inside Claude
- Turning five perspectives into one clear verdict and next step
This overview was written by AI Khala. The full resource was created by Felix · adapted from Andrej Karpathy and lives on Notion — we summarize and credit, we don't republish. Open the original for the complete version.
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